Gastroenterology

Latest AI and machine learning research in gastroenterology for healthcare professionals.

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Sources of performance variability in deep learning-based polyp detection.

PURPOSE: Validation metrics are a key prerequisite for the reliable tracking of scientific progress ...

Robotic Function-Preserving Resection of Gastric Gastrointestinal Stromal Tumor.

INTRODUCTION: Gastric gastrointestinal stromal tumors (GISTs) located at the gastroesophageal juncti...

MM-GLCM-CNN: A multi-scale and multi-level based GLCM-CNN for polyp classification.

Distinguishing malignant from benign lesions has significant clinical impacts on both early detectio...

Single-Port Robotic Intersphincteric Resection for the Treatment of Rectal Cancer.

BACKGROUND: The da Vinci Single-port (SP) system is designed to facilitate single-incision robotic s...

Short-term outcomes between robot-assisted and open pancreaticoduodenectomy in patients with high body mass index: A propensity score matched study.

BACKGROUND: High body mass index was considered as a risk factor for minimally invasive surgery. The...

Ultrasound guidance in navigated liver surgery: toward deep-learning enhanced compensation of deformation and organ motion.

PURPOSE: Accuracy of image-guided liver surgery is challenged by deformation of the liver during the...

Right hemicolectomy for ascending colon cancer using the hinotori surgical robot system: The first ever case report for colon cancer.

The hinotori Surgical Robot System obtained pharmaceutical approval for use in colorectal cancer sur...

Robotic versus laparoscopic versus open major hepatectomy - an analysis of costs and postoperative outcomes in a single-center setting.

PURPOSE: In the era of minimal-invasive surgery, the introduction of robotic liver surgery (RS) was ...

Transthoracic Aortic Clamp Technique for Port-Only Endoscopic Robotic Mitral Surgery.

OBJECTIVE: Many robotic mitral surgeons utilize right thoracotomy with transthoracic clamping of the...

Deep Learning-Based Image Analysis of Liver Steatosis in Mouse Models.

The incidence of nonalcoholic fatty liver disease is a continuously growing health problem worldwide...

Deep learning for multi-class semantic segmentation enables colorectal cancer detection and classification in digital pathology images.

In colorectal cancer (CRC), artificial intelligence (AI) can alleviate the laborious task of charact...

Intentional enterotomies: validation of a novel robotic surgery training exercise.

While laparoscopic simulation-based training is a well-established component of general surgery trai...

Short-term outcomes of robot-assisted versus thoracoscopic-assisted Mckeown esophagectomy.

BACKGROUND: Thoracoscopic-assisted and robot-assisted Mckeown esophagectomy are currently two common...

Diagnosis of Liver Fibrosis Using Artificial Intelligence: A Systematic Review.

The development of liver fibrosis as a consequence of continuous inflammation represents a turning ...

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